Advancing Sustainability Using ICT

The environmental issues we now face are believed to be the result of our social systems. Information and Communication Technology (ICT) has the potential to help us better understand, monitor in read-time, and reduce our impact on the environment. AITIS Lab, in the Department of Engineering Science, is committed to utilize the engineering expertise and research activity of its faculty to initiate innovative and sustainable graduate and undergraduate projects to educate future environmentally responsible and skilled engineers. We work with local industries and organizations to provide sustainable engineering solutions. Click here to learn more about our research activities and ongoing projects .....more; / Main Page. Checkout our Calendar of Events.

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The AITIS lab is accepting new students to assist with summer projects. Here is a summary of currently available projects, please note that these projects are mainly for undergraduate students: 

  • PCB board design
    • Deliverables: Interface a microcontroller to a wireless module on a PCB board 
    • Learning outcomes: PCB design, RF communications, Microcontrollers, UART and serial communications, basic networking concepts, PCB design tools 
  • Remote Control Boat
    • Deliverables: Design a remote control boat using LoRa such that it can be controlled from 5km away!
    • Learning outcomes: point-to-point communications, microcontrollers, PCB design
  • Self-Powered Weather Station
    • Deliverables: Design a solar powered weather station for FOP. 
    • Learning outcomes: Microcontrollers, sensors, 
  • TinyML
    • Deliverables: Implement machine learning in a tiny microcontroller! 
    • Learning outcomes: Basic machine learning concepts and tools, embedded system programming, interfacing ChatGPT and a microcontroller
  • Signal Analysis Using a Microcontroller 
    • Deliverables: Interface a microcontroller to several sensors including weight sensor and a microphone and manipulate the input
    • Learning outcomes: Gain hands-on experience in sensor interfacing and data acquisition; Learn about signal processing techniques, including FFT for frequency domain analysis; Develop skills in programming and algorithm implementation for signal manipulation and analysis.
  • Autonomous Scooter 
    • Deliverables: Build a scooter that can autonomously find its way to a building 
    • Learning outcomes: Scooter power management, routing algorithms, GPS
Please contact Dr. Farahmand for more information.